{
 "slug": "section-5-ftc-act-autonomous-ai-agents-avoiding",
 "topic_id": "TOPIC-058",
 "cluster": "Regulatory & Sovereign AI",
 "tier": "Tier B",
 "title": "Consumer protection liability when the bot makes the promise",
 "summary": "Consumer protection law holds a business responsible for representations made on its behalf. Nothing in that framework requires the representation to have come from a person.",
 "lede": "A company deploys an agent that negotiates with customers. It offers a refund the company does not honour. The company's position is that the agent made an error, and consumer protection law is unlikely to find that interesting.",
 "date": "2024-04-06",
 "category": "Future of Work",
 "author_id": "constance-ibe-whitmore",
 "tags": [
  "FTC",
  "consumer protection",
  "deceptive practices",
  "AI agents",
  "liability",
  "disclosure"
 ],
 "image_title": "When The Bot Makes The Promise",
 "schema": "Article",
 "key_takeaways": [
  "Consumer protection liability attaches to the business for representations made in its name, regardless of what produced them.",
  "'The model hallucinated' is an explanation, not a defence — the business chose to deploy a system that makes representations.",
  "Bounding what an agent can commit to, and giving the consumer a record of it, addresses both the liability and the dispute."
 ],
 "body": [
  {
   "type": "h2",
   "text": "The framework, briefly"
  },
  {
   "type": "diagram",
   "kind": "flow",
   "alt": "The agent proposes, the policy engine decides, and the consumer's record comes from the engine",
   "caption": "If the model both makes the promise and writes the record of it, a dispute has no independent evidence on either side.",
   "nodes": [
    {
     "label": "Agent proposes a remedy",
     "note": "generated"
    },
    {
     "label": "Policy engine checks permitted types and value",
     "note": "the control",
     "good": true
    },
    {
     "label": "Remedy rendered from policy",
     "note": "not from the model",
     "good": true
    },
    {
     "label": "Consumer receives a verifiable record",
     "note": "independent of the model",
     "good": true
    }
   ]
  },
  {
   "type": "p",
   "html": "Consumer protection regimes generally prohibit deceptive acts or practices. A representation is typically deceptive if it is likely to mislead a reasonable consumer and is material to their decision."
  },
  {
   "type": "p",
   "html": "Two features matter here. Intent is generally not required. And the business bears responsibility for representations made in its name through its channels."
  },
  {
   "type": "h2",
   "text": "Why the usual defences do not fit"
  },
  {
   "type": "table",
   "head": [
    "Argument",
    "Problem"
   ],
   "rows": [
    [
     "The model produced unintended output",
     "The business chose to deploy a system capable of making representations"
    ],
    [
     "The consumer should have known it was a bot",
     "The representation was still made in the business's name"
    ],
    [
     "Terms of service disclaim agent statements",
     "Disclaimers rarely cure a deceptive representation that induced the transaction"
    ],
    [
     "It was a one-off error",
     "Systems produce errors at a rate; a rate is a practice"
    ]
   ]
  },
  {
   "type": "p",
   "html": "The last row is the one businesses underestimate. An individual employee's misstatement is an incident. A deployed system's error rate across thousands of interactions looks structural, and structural is how these cases are framed."
  },
  {
   "type": "h2",
   "text": "Four representation types worth bounding"
  },
  {
   "type": "ol",
   "items": [
    "<strong style=\"font-weight:600\">Price and terms.</strong> Anything about cost, duration, renewal or cancellation.",
    "<strong style=\"font-weight:600\">Remedies.</strong> Refunds, credits, replacements, waivers of fees.",
    "<strong style=\"font-weight:600\">Capability.</strong> What the product or service does, particularly in regulated categories.",
    "<strong style=\"font-weight:600\">Eligibility.</strong> Whether a consumer qualifies for something."
   ]
  },
  {
   "type": "p",
   "html": "These are the classes where a representation is both material and easy for a generative system to produce plausibly. They are also enumerable, which makes them boundable."
  },
  {
   "type": "h2",
   "text": "Bounding at the boundary, not the prompt"
  },
  {
   "type": "p",
   "html": "Instructing a model not to promise refunds is a request. Preventing it from issuing one is a control."
  },
  {
   "type": "code",
   "text": "# The agent proposes; the boundary decides\n\ndef issue_remedy(agent_request, conversation):\n    policy = remedy_policy_for(conversation.customer, conversation.issue)\n\n    if agent_request.type not in policy.permitted_types:\n        return refuse(\"outside permitted remedies\")\n    if agent_request.value > policy.max_value:\n        return escalate_to_human(agent_request, conversation)\n\n    remedy = policy.render(agent_request)     # canonical, from policy\n    receipt = sign_issuer(remedy)             # business attests\n    deliver_to_consumer(remedy, receipt)\n    return remedy\n\n# The consumer's record comes from the policy engine,\n# not from the model's description of what it offered."
  },
  {
   "type": "p",
   "html": "The last comment is the substantive design point. If the consumer's record of what was promised is generated by the same model that made the promise, a dispute about what was said has no independent evidence on either side."
  },
  {
   "type": "h2",
   "text": "What the consumer should receive"
  },
  {
   "type": "p",
   "html": "A record that is useful to them, which incidentally is also the record that protects the business."
  },
  {
   "type": "ul",
   "items": [
    "What was agreed, in specific terms — amount, timing, conditions",
    "When, and through which channel",
    "That it was an automated interaction, where that is not obvious",
    "Something verifiable, so the record is not simply the business's assertion"
   ]
  },
  {
   "type": "p",
   "html": "A consumer holding this is less likely to complain to a regulator, because they have what they need. A business holding the counterpart is in a far better position if the consumer does."
  },
  {
   "type": "h2",
   "text": "The disclosure question"
  },
  {
   "type": "p",
   "html": "Whether a consumer must be told they are interacting with an automated system is an area of active regulatory attention, and requirements differ by jurisdiction and context."
  },
  {
   "type": "p",
   "html": "The practical position is that disclosure is cheap and its absence is an easy criticism. A business that discloses clearly and bounds what the agent can commit to has addressed both the disclosure question and the substance, without waiting for the rule to settle."
  },
  {
   "type": "p",
   "html": "This describes consumer protection principles at a general level and is not legal advice. Standards, enforcement posture and disclosure requirements vary by jurisdiction; take specifics to counsel."
  },
  {
   "type": "h2",
   "text": "Four representation classes worth bounding"
  },
  {
   "type": "table",
   "caption": "Where a generative system can produce a material misstatement",
   "head": [
    "Class",
    "Examples"
   ],
   "rows": [
    [
     "Price and terms",
     "Cost, duration, renewal, cancellation"
    ],
    [
     "Remedies",
     "Refunds, credits, replacements, fee waivers"
    ],
    [
     "Capability",
     "What the product does, especially in regulated categories"
    ],
    [
     "Eligibility",
     "Whether a consumer qualifies for something"
    ]
   ]
  },
  {
   "type": "p",
   "html": "These are enumerable, which is what makes them boundable. Instructing a model not to promise refunds is a request; preventing it from issuing one is a control."
  },
  {
   "type": "h2",
   "text": "Objections and honest limits"
  },
  {
   "type": "p",
   "html": "<strong style=\"font-weight:600\">“Our terms of service disclaim agent statements.”</strong> Disclaimers rarely cure a deceptive representation that induced a transaction. The statement was made in the business's name through the business's channel."
  },
  {
   "type": "p",
   "html": "<strong style=\"font-weight:600\">“It was a one-off error.”</strong> Systems produce errors at a rate, and a rate is a practice. An individual employee's misstatement is an incident; a deployed system's error rate across thousands of interactions reads as structural, and structural is how these cases are framed."
  },
  {
   "type": "p",
   "html": "Disclosure is an area of active regulatory attention and it is cheap. A business that discloses clearly and bounds what the agent can commit to has addressed both the disclosure question and the substance without waiting for the rule to settle."
  }
 ],
 "faq": [
  {
   "q": "Can a business disclaim its agent's statements?",
   "a": "Terms of service disclaimers rarely cure a deceptive representation that induced a transaction. The representation was made in the business's name."
  },
  {
   "q": "Does intent matter?",
   "a": "Generally not under deception standards. A representation likely to mislead a reasonable consumer, material to their decision, is the test."
  },
  {
   "q": "How should agent commitments be bounded?",
   "a": "At the system boundary rather than in the prompt. A policy engine decides what remedies are permitted; the model proposes and does not issue."
  },
  {
   "q": "Why shouldn't the model write the consumer's record?",
   "a": "Then a dispute about what was promised has no independent evidence. The record should come from the policy engine that issued the remedy."
  }
 ],
 "sources": [
  {
   "t": "FTC Policy Statement on Deception",
   "u": "https://www.ftc.gov/legal-library/browse/ftc-policy-statement-deception"
  },
  {
   "t": "State unfair and deceptive acts and practices statutes."
  },
  {
   "t": "Regulatory guidance on automated interaction disclosure."
  },
  {
   "t": "Published enforcement actions involving automated customer interactions."
  },
  {
   "t": "Federal Trade Commission Act, Section 5",
   "u": "https://www.ftc.gov/legal-library/browse/statutes/federal-trade-commission-act"
  }
 ],
 "related": [
  {
   "slug": "my-agent-did-defense-businesses-will-dispute",
   "title": "The 'my agent did it' defence",
   "category": "Future of Work"
  },
  {
   "slug": "consumer-mandate-receipt",
   "title": "Visa made cardholders responsible for their agents",
   "category": "Vertical"
  },
  {
   "slug": "ai-agent-act-senator-warners-draft-legislation",
   "title": "Reading draft agent legislation",
   "category": "Future of Work"
  }
 ],
 "image": "https://cdn.twc.sh/images/igcache/When%20The%20Bot%20Makes%20The%20Promise/1500_900/blog.jpg",
 "wordcount": 875,
 "url": "/blog/section-5-ftc-act-autonomous-ai-agents-avoiding.html",
 "reading_time": "4 min read",
 "meta_description": "Consumer protection law holds a business responsible for representations made in its name. Nothing requires those to come from a person.",
 "hub": {
  "slug": "topics/ai-oversight-regulation",
  "title": "AI oversight and regulation"
 },
 "answer": "Very likely. Section 5 of the FTC Act reaches representations likely to mislead a reasonable consumer and material to their decision. Intent is generally not required, and nothing in the framework asks what produced the representation. “The model hallucinated” is an explanation, not a defence.",
 "answer_q": "Is a business liable when its AI agent makes a promise it will not honour?",
 "entities": [
  {
   "name": "Federal Trade Commission",
   "type": "GovernmentOrganization",
   "url": "https://www.ftc.gov/legal-library/browse/statutes/federal-trade-commission-act",
   "primary": true
  }
 ],
 "glossary": [
  {
   "term": "Deception",
   "def": "A representation likely to mislead a reasonable consumer, material to their decision. Intent is generally not an element."
  },
  {
   "term": "Material representation",
   "def": "One likely to affect a consumer's choice. Price, remedies and eligibility almost always qualify."
  },
  {
   "term": "Policy engine",
   "def": "A component that decides what the business is willing to offer, independent of what a model proposes."
  }
 ],
 "checklist": {
  "title": "Bounding what an agent can commit to",
  "id": "bound",
  "desc": "Four steps at the system boundary.",
  "steps": [
   {
    "name": "Enumerate the representation classes.",
    "text": "Price, remedies, capability, eligibility. Four lists, each short."
   },
   {
    "name": "Move the decision to a policy engine.",
    "text": "The model proposes; the engine decides what is permitted and at what value."
   },
   {
    "name": "Render the consumer's record from the engine.",
    "text": "Not from the model's description of what it offered."
   },
   {
    "name": "Give the consumer something verifiable.",
    "text": "A record they can check is one they are less likely to complain about, and one that protects you if they do."
   }
  ]
 },
 "cta": {
  "title": "Where this fits in Manav",
  "html": "Manav's role here is the consumer-side record: the remedy is rendered from the policy engine, countersigned by the business, and delivered to the consumer in a form either party can verify later without the other's cooperation.",
  "href": "../docs.html",
  "label": "See consumer receipts"
 }
}